Python machine learning courses can help you learn data preprocessing, model selection, and evaluation techniques. You can build skills in implementing algorithms like regression, classification, and clustering, as well as working with neural networks. Many courses introduce tools such as TensorFlow, Scikit-learn, and Pandas, showing how these technologies support the development of AI applications and enhance your ability to analyze and interpret complex datasets.

Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scripting Languages, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Data Visualization, Descriptive Statistics, Mathematical Software, Numerical Analysis, Software Installation, Mathematical Modeling, Predictive Modeling, Programming Principles, Python Programming, Data Analysis
Beginner Ā· Specialization Ā· 1 - 3 Months

UniversitĆ di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, Artificial Neural Networks, Machine Learning, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Manipulation, Data Modeling
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Application Lifecycle Management, DevOps, Automation, Cloud Solutions, Continuous Deployment, Machine Learning, Containerization, Data Processing
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Data Management, Google Cloud Platform, Data Pipelines, Predictive Modeling, Applied Machine Learning, Machine Learning, Performance Tuning, Continuous Monitoring
Intermediate Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), CI/CD, Statistical Methods, Data Quality, Real Time Data, Resource Management
Intermediate Ā· Specialization Ā· 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Cloud Management, Continuous Deployment, Machine Learning Methods, Applied Machine Learning, Automation, Data Processing, Scalability
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Generative AI, Data Wrangling, Project Planning, Data Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, Data Visualization, MLOps (Machine Learning Operations), Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate Ā· Course Ā· 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Continuous Deployment, Application Deployment, Software Development Life Cycle, Automation, Cloud Solutions, Continuous Integration, Machine Learning, Applied Machine Learning, Data Management
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Machine Learning, Predictive Modeling, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Computer Vision, Data Science, Python Programming
Advanced Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Data Visualization, Statistical Modeling, Feature Engineering, Data Science, Data Cleansing, Animation and Game Design
Intermediate Ā· Course Ā· 3 - 6 Months

Northeastern University
Skills you'll gain: Exploratory Data Analysis, Data Mining, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Analytics, Feature Engineering, Predictive Modeling, Data Science, Data Processing, Statistical Analysis, Performance Analysis, Case Studies, Applied Machine Learning, Supervised Learning, Classification And Regression Tree (CART), Data Cleansing, Project Implementation
Intermediate Ā· Course Ā· 1 - 3 Months
Skills you'll gain: Data Ethics, Responsible AI, Business Ethics, Compliance Management, Applied Machine Learning, Project Implementation, AI Product Strategy, Business Solutions, Solution Design, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Machine Learning Algorithms
Intermediate Ā· Course Ā· 1 - 4 Weeks